Passive microwave brightness temperature data downscaling method and system
A passive microwave and passive microwave remote sensing technology, which is applied in image data processing, image enhancement, instruments, etc., can solve the problems of limited application range, collaborative use of high-resolution optical remote sensing data, and low resolution of passive microwave remote sensing data. , to achieve the effect of maximizing the use of information, realizing complementary advantages, good data and technical support
Active Publication Date: 2019-03-19
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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[0004] This application provides a downscaling method for passive microwave brightness temperature data, which is used to solve the problem that the resolution of existing passive microwave remote sensing data is too low to limit its application range and cannot be used in conjunction with high-resolution optical remote sensing data
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[0021] In order to make the above objectives, features and advantages of the application more obvious and understandable, the application will be further described in detail below in conjunction with the drawings and specific implementations.
[0022] Reference figure 1 , Shows the flow of the first embodiment of the passive microwave brightness temperature data downscaling method of the present application. The preferred method embodiment includes the following steps:
[0023] Step S101: Obtain optical remote sensing data, passive microwave remote sensing data, and surface elevation data within a preset time period;
[0024] In this preferred embodiment, the preset time period can be set according to needs, for example, it can be set to analyze remote sensing data in the past 10 years;
[0025] Optical remote sensing data includes vegetation index, leaf area index (LAI, LeafAreaIndex), atmospheric water vapor content, cloud mask, wide-band surface albedo, surface temperature, surface...
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The invention provides a passive microwave brightness temperature data downscaling method and a passive microwave brightness temperature data downscaling system. The method comprises the steps of acquiring optical remote sensing data, passive microwave remote sensing data and surface elevation data in a preset time period; dividing the global surface into various types of regions by taking vegetation index as reference; in each type of region, carrying out principal component analysis on the optical remote sensing data and the surface elevation data, resampling the acquired m principle component (PCA optics) to pixel scales corresponding to the microwave bands, thus acquiring PCA microwaves; establishing the multi-component nonlinear-regression relationship between the brightness temperature data of each microwave band and the corresponding PCA microwave; and calculating the brightness temperature data of the optical waveband corresponding to the scale by taking PCA optics as independent variable. According to the method, the downscaling of the passive microwave brightness temperature data can be realized, the high-resolution passive microwave brightness temperature which can be easily fused with optical data can be acquired, and the influence of uncertainty of the final downscaling result due to the adoption of differences of dimensions and parameter physical properties in the prior art can be avoided.
Description
Technical field [0001] This application relates to the technical field of remote sensing data processing, in particular, to a method and system for downscaling passive microwave brightness temperature data. Background technique [0002] Optical remote sensing refers to the remote sensing technology in which the working band of the sensor is in the light band. Take the sensor commonly used in the Earth Observation System (EOS, Earth Observation System)-the Moderate Resolution Imaging Spectroradiometer (MODIS, MODerateresolution Imaging Spectroradiometer) as an example. MODIS has 36 bands. Visible light and infrared bands have three spatial resolutions: 250m, 500m and 1km. However, because MODIS can only work in the optical band, it is difficult to penetrate clouds, and can only obtain surface or atmospheric data under clear sky conditions. [0003] Microwave remote sensing is a remote sensing technology in which the working wavelength of the sensor is in the microwave spectrum regi...
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IPC IPC(8): G06T5/00
Inventor 王天星施建成
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI